Kurskatalog forskarutbildning - HT21

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Titel Artificial Intelligence and Machine Learning for Biomedical and Clinical Research
Kursnummer 5223
Program Cellbiologi och genetik
Språk Engelska
Antal högskolepoäng 3.0
Datum 2021-11-22 -- 2021-12-03
Kursansvarig institution Institutionen för mikrobiologi, tumör- och cellbiologi
Särskild behörighet At least 1,5 credits from a course in basic statistics.
Kursens syfte To increase knowledge about Machine Learning (ML) and Artificial Intelligence (AI) applications in biological and medical research, introduce first-hand experience and skills with different frameworks. The course requires no preliminary programming skills as well as no preliminary expertise in ML and AI. This course is given at a basic/novice level with no expertise in ML/AI and preliminary programming skills required, though experience in data analysis using RStudio/MatLab or similar analytic environment is an advantage.
Kursens lärandemål After the completed course, the participants will be able to describe and discuss general aspects of ML and AI in a biomedical or medical context including ethical dilemmas and challenges. Practically, they should be able to prepare and analyse different data types related to own research, such as texts, omics, genomic sequences, images etc. using a range of ML and AI exploration and classification techniques as well critically analyse the outcome and estimate performance.
Kursens innehåll Basic information about AI and ML, multivariate dataset preparation, classic methods of univariate and multi-dimensional analysis (Principal Component Analysis, Linear Discrimination Analysis, Factor Analysis), variable selection and sparse regression models (lasso regression, ridge regression, elastic net), supervised and unsupervised learning with neural networks, federated learning, performance estimation methods.
Arbetsformer The course consists of lectures, group discussions, and hands-on labs. Previous experience from practical experience applying modelling in a computer-based environment (e.g. in R, SAS, STAT, Matlab or Python), is strongly recommended.
Obligatoriska moment All planned activities including lab and group works are mandatory. Absence has to be compensated with a report on the lab work, which student will have to do.
Examination The student will be examined by their (a) labs accomplishment (b) final project report and (c) written reviews of projects of 2 other students.
Kurslitteratur och övriga läromedel Both classic and up-to-date articles and websites will be recommended.
Antal studenter 8 - 8
Urval av studenter Selection will be based on 1) the relevance of the course syllabus for the applicant's doctoral project (according to written motivation), 2) start date of doctoral studies (priority given to earlier start date)
Övrig information The course takes place at Campus Solna. It is full time and intensive. For any questions about course contents and practicals, email iurii.petrov@scilifelab.se who is the main teacher of the course.
Ytterligare kursledare The course co-director if Iurii Petrov, iurii.petrov@scilifelab.se.
Senaste kursvärdering Kursvärderingsrapport
Kursansvarig Andrey Alexeyenko
Institutionen för mikrobiologi, tumör- och cellbiologi

Andrey.Alexeyenko@ki.se
Kontaktpersoner Matti Nikkola
Institutionen för cell- och molekylärbiologi

Matti.Nikkola@ki.se